Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior / Principal FPGA Design Engineer

Spectrum IT Recruitment
Southampton
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Principal Data Engineer – Platform Leadership

Senior / Principal Machine Learning Scientist

Senior Principal Data Scientist - Remote

Principal Data Engineer

Senior Data Scientist - Energy AI & MLOps Leader

Principal Data Scientist - AI Leader (Hybrid, High Impact)

Senior / Principal FPGA Design Engineer required an established company located in Southampton. Due to continued expansion the company is looking to add a Senior / Principal FPGA Design Engineer to its existing, highly skilled team.Key skills- Matlab/C/C++ prototyping for design & verification- Timing & hardware resource optimisation for high throughput data or signal processing applications- EDA tools for simulation and synthesis - eg Siemens QuestaSim, Synopsys VCS, Intel Quartus, Xilinx Vivado, Synopsys DC Ultra, Cadence Genus- Version control / peer review - Git or simlar- Documentation- Confluence or similar- Task/time management- Jira or similar Knowledge or experience in any of the following areas would be advantageous;- AXI interfacing- Communications signal processing algorithms- Mobile communication systems- Telecoms and/or semiconductor industry experience- EDA tool maintenance- Automation - JenkinsIf you are looking for a role of this nature please get in touch for more information.Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy...

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.